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Isoform level expression profiles provide better cancer signatures than gene level expression profiles

Overview of attention for article published in Genome Medicine, April 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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9 X users

Citations

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44 Dimensions

Readers on

mendeley
103 Mendeley
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1 CiteULike
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Title
Isoform level expression profiles provide better cancer signatures than gene level expression profiles
Published in
Genome Medicine, April 2013
DOI 10.1186/gm437
Pubmed ID
Authors

ZhongFa Zhang, Sharmistha Pal, Yingtao Bi, Julia Tchou, Ramana V Davuluri

Abstract

The majority of mammalian genes generate multiple transcript variants and protein isoforms through alternative transcription and/or alternative splicing, and the dynamic changes at the transcript/isoform level between non-oncogenic and cancer cells remain largely unexplored. We hypothesized that isoform level expression profiles would be better than gene level expression profiles at discriminating between non-oncogenic and cancer cellsgene level.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
India 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 95 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 31%
Researcher 19 18%
Student > Master 11 11%
Student > Bachelor 6 6%
Student > Doctoral Student 6 6%
Other 17 17%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 36%
Biochemistry, Genetics and Molecular Biology 25 24%
Computer Science 13 13%
Medicine and Dentistry 6 6%
Mathematics 4 4%
Other 5 5%
Unknown 13 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2013.
All research outputs
#6,947,173
of 25,284,710 outputs
Outputs from Genome Medicine
#1,122
of 1,566 outputs
Outputs of similar age
#53,980
of 203,417 outputs
Outputs of similar age from Genome Medicine
#12
of 16 outputs
Altmetric has tracked 25,284,710 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,566 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 203,417 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.